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Field
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learning and brain plasticity. Successful applicants hold a doctoral degree in psychology, cognitive neuroscience, or related fields. Essential qualifications include: Interest in neural mechanisms
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neural network tool to design multilayered compound metasurfaces for multifunctional operation. • Collaborate with nanofabrication teams to prototype and validate designs. • Conduct optical
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, proactivity, accountability, and a solid work ethic. Ability to manage multiple projects simultaneously and cooperate with colleagues. PREFERRED QUALIFICATIONS Strong understanding of the mathematics of neural
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, a proven publication record, and effective interpersonal skills. Preferred Qualifications: Knowledge of graph neural networks and other geometric deep learning approaches for graph-structured
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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. Research directions. Successful candidates will lead one or more of the following ongoing projects: • Developing neural differential equation and continuous-time dynamical models for spatial and single-cell
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funded through the ERC project SleepCog and associated grants, with an appointment of two years. Start date is January 2027 or by agreement. About the Group The Boccara group investigates the neural
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Requirements: The prospective candidate should be well-versed with deep neural networks, have experience working on PyTorch or similar DL frameworks, programming in Python (preferred), NLP packages and pipelines
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relevant technical software, such as Cadence, SPICE, Verilog, etc. are needed; • Background knowledge in neural network algorithms preferred, but not required • Collaborative skills, student mentorship
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broad European and international network through its collaboration schemes and open-science activities. Through its research, the ACT provides ESA with early scientific insight into emerging trends and